Build the foundational data platform for analytics, risk, and decision-making, migrating siloed data into a unified BigQuery warehouse.
Design and operate reliable ETL/ETL pipelines, consolidate fragmented data sources, and establish standards for ingestion, transformation, and documentation.
Own data quality, observability, and access controls while partnering with Data Science, Engineering, Risk, and Product teams.
Ondo Finance provides institutional-grade, blockchain-enabled investment products and services, developing decentralized finance technology and managing tokenized funds. Founded by Goldman Sachs Digital Assets alumni, the company is backed by top investors like Founders Fund and Coinbase Ventures, is well-capitalized and growing quickly, with a fully remote team across the U.S.
Design, build, and evolve the core data platform infrastructure including distributed query engines and orchestration.
Own our lakehouse infrastructure as code using Terraform and Ansible on Kubernetes.
Build and maintain low-latency streaming and batch ingestion pipelines, and scale the BI landscape.
Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, and more. We are a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world.
Design, build, and maintain scalable lakehouse architectures and enterprise data platforms.
Develop and manage secure data ingestion frameworks, including CDC, batch, API, and file-based integrations.
Implement data quality, observability, and monitoring processes to ensure reliable, high-performing pipelines.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, they have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.
Define and own the market data strategy and roadmap for the TradFi program, including sourcing, licensing, and integration of exchange and vendor data.
Lead sourcing and commercial negotiations with data vendors, manage licensing agreements, renewals, and data spend.
Build and mentor a small market data team while establishing operating cadence with product and engineering.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, they offer a range of digital-asset products and are committed to building an inclusive financial ecosystem.
Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
Design and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.
The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.
Build and maintain scalable data products that deliver insight across finance systems.
Design and optimize ETL processes to ensure data integrity and performance.
Collaborate with engineers, analysts, and business teams to define and deliver data solutions.
EDF is a leading energy company driving the transition to a low-carbon future, focusing on electricity generation and supply. They are a large organization with a collaborative culture, emphasizing personal growth and flexible working.
Maintain and enhance existing data processes, ensuring reliability, performance, and scalability.
Build a full understanding of existing tables, flows, and jobs to identify improvement areas.
Drive system reliability and performance improvements across all data workflows.
The Customer provides comprehensive cybersecurity solutions to protect individuals, organizations, and communities. The company operates across various sectors, addressing vulnerabilities and ensuring protection against digital risks.
Own key architecture and technical decisions across backend systems to ensure scalability, reliability, and performance.
Build and operate real-time data pipelines handling order book updates, trades, and market events.
Design, develop, and maintain API infrastructure including GraphQL and WebSockets, and optimize PostgreSQL, Redis, and ClickHouse for high-volume trading data.
They build infrastructure for decentralized financial markets, powering real-time trading and data pipelines for products used by hundreds of thousands of traders. They are a high-growth, remote-first team that values technical excellence, collaboration, and significant ownership in a fast-paced 0-to-1 environment.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Maintain and enhance data processes with focus on reliability, scalability, and performance optimization.
Design, optimize, and support large-scale data pipelines and transformation processes.
Drive modernization initiatives across the data platform and implement architectural improvements.
Sigma Software is a technology company delivering software development and cybersecurity solutions. They foster a supportive, people-focused culture with experienced international teams.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Analyze and interpret large volumes of transactional, operational, and customer data using proprietary and open source tools.
Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives.
Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million users in 100+ countries, they are committed to building an inclusive financial ecosystem and offer a fast-paced, results-driven culture with remote flexibility.
Lead end-to-end data engineering projects from discovery to production deployment, including complex data modeling and high-volume matching.
Design platform-agnostic data pipelines and schemas, ensuring scalability and performance across Snowflake, Databricks, and other platforms.
Define data integration strategies and communicate tradeoffs to clients, guiding architecture and tool selection.
Blend is a premier AI services provider that leverages data science, AI, and technology to drive client impact. The company fosters a culture of innovation and collaboration, working with global teams and clients.